Mardé Helbig

651 total citations
29 papers, 377 citations indexed

About

Mardé Helbig is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Mardé Helbig has authored 29 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 24 papers in Computational Theory and Mathematics and 7 papers in Management Science and Operations Research. Recurrent topics in Mardé Helbig's work include Advanced Multi-Objective Optimization Algorithms (24 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (11 papers). Mardé Helbig is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (24 papers), Metaheuristic Optimization Algorithms Research (22 papers) and Evolutionary Algorithms and Applications (11 papers). Mardé Helbig collaborates with scholars based in South Africa, Australia and Germany. Mardé Helbig's co-authors include Andries P. Engelbrecht, Kalyanmoy Deb, Tanja Clees, Dong‐Zhi Sun, Sanaz Mostaghim and Heiner Zille and has published in prestigious journals such as ACM Computing Surveys, Information Sciences and Neural Computing and Applications.

In The Last Decade

Mardé Helbig

27 papers receiving 373 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mardé Helbig South Africa	10	320	316	60	54	26	29	377
Kaname Narukawa Japan	10	390 1.2×	399 1.3×	80 1.3×	59 1.1×	36 1.4×	17	506
Naoya Akedo Japan	5	295 0.9×	324 1.0×	76 1.3×	35 0.6×	30 1.2×	8	378
Zefeng Chen China	12	252 0.8×	230 0.7×	49 0.8×	31 0.6×	36 1.4×	28	361
Jiawei Yuan China	10	265 0.8×	275 0.9×	45 0.8×	37 0.7×	30 1.2×	15	357
Yuji Sakane Japan	8	298 0.9×	340 1.1×	73 1.2×	30 0.6×	17 0.7×	11	402
Y. Yang China	10	220 0.7×	223 0.7×	34 0.6×	29 0.5×	35 1.3×	24	330
Jesús Guillermo Falcón-Cardona Mexico	8	196 0.6×	200 0.6×	49 0.8×	26 0.5×	17 0.7×	22	274
Zhongwei Ma China	5	485 1.5×	528 1.7×	44 0.7×	68 1.3×	41 1.6×	6	591
Heiner Zille Germany	8	339 1.1×	338 1.1×	41 0.7×	35 0.6×	36 1.4×	20	419
Ma. Guadalupe Castillo Tapia Mexico	4	167 0.5×	168 0.5×	63 1.1×	19 0.4×	27 1.0×	5	278

Countries citing papers authored by Mardé Helbig

Since Specialization

Citations

This map shows the geographic impact of Mardé Helbig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mardé Helbig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mardé Helbig more than expected).

Fields of papers citing papers by Mardé Helbig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mardé Helbig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mardé Helbig. The network helps show where Mardé Helbig may publish in the future.

Co-authorship network of co-authors of Mardé Helbig

This figure shows the co-authorship network connecting the top 25 collaborators of Mardé Helbig. A scholar is included among the top collaborators of Mardé Helbig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mardé Helbig. Mardé Helbig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Helbig, Mardé. (2024). Dynamic Multi-objective Optimisation Problems with Changes of Varying Frequency and Severity. 8. 1–8.

Helbig, Mardé, et al.. (2023). Decision-Maker’s Preference-Driven Dynamic Multi-Objective Optimization. Algorithms. 16(11). 504–504. 1 indexed citations

Helbig, Mardé & Andries P. Engelbrecht. (2023). Solving many-objective optimisation problems using partial dominance. Neural Computing and Applications. 37(2). 653–694. 1 indexed citations

Helbig, Mardé. (2021). Dynamic multi-objective optimization. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 818–838.

Helbig, Mardé, et al.. (2019). Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets. Griffith Research Online (Griffith University, Queensland, Australia). 762–770. 3 indexed citations

Helbig, Mardé, et al.. (2018). Dynamic Particle Swarm Optimization for Financial Markets. Griffith Research Online (Griffith University, Queensland, Australia). 1. 2337–2344. 2 indexed citations

Engelbrecht, Andries P., et al.. (2018). Progressive gradient walk for neural network fitness landscape analysis. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1473–1480. 5 indexed citations

Engelbrecht, Andries P., et al.. (2017). Fitness Landscape Analysis of Weight-Elimination Neural Networks. Neural Processing Letters. 48(1). 353–373. 9 indexed citations

Helbig, Mardé, et al.. (2017). A differential evolution algorithm for dynamic multi-objective optimization. Griffith Research Online (Griffith University, Queensland, Australia). 29. 1–10. 3 indexed citations

10.

Engelbrecht, Andries P., et al.. (2016). Search space boundaries in neural network error landscape analysis. 1–8. 7 indexed citations

11.

Helbig, Mardé, Kalyanmoy Deb, & Andries P. Engelbrecht. (2016). Key challenges and future directions of dynamic multi-objective optimisation. 1256–1261. 14 indexed citations

12.

Helbig, Mardé & Andries P. Engelbrecht. (2015). Dynamic Vector-Evaluated PSO with Guaranteed Convergence in the Sub-Swarms. 7811. 1286–1293. 2 indexed citations

13.

Helbig, Mardé & Andries P. Engelbrecht. (2014). Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisation. 261. 3151–3159. 13 indexed citations

14.

Helbig, Mardé & Andries P. Engelbrecht. (2014). Benchmarks for dynamic multi-objective optimisation algorithms. ACM Computing Surveys. 46(3). 1–39. 49 indexed citations

15.

Helbig, Mardé & Andries P. Engelbrecht. (2013). Population-based metaheuristics for continuous boundary-constrained dynamic multi-objective optimisation problems. Swarm and Evolutionary Computation. 14. 31–47. 38 indexed citations

16.

Helbig, Mardé & Andries P. Engelbrecht. (2013). Analysing the performance of dynamic multi-objective optimisation algorithms. 1531–1539. 32 indexed citations

17.

Helbig, Mardé & Andries P. Engelbrecht. (2013). Benchmarks for dynamic multi-objective optimisation. 84–91. 29 indexed citations

18.

Helbig, Mardé & Andries P. Engelbrecht. (2013). Challenges of Dynamic Multi-objective Optimisation. 3. 254–261. 1 indexed citations

19.

Helbig, Mardé & Andries P. Engelbrecht. (2012). Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems. 1–8. 25 indexed citations

20.

Clees, Tanja, et al.. (2010). Statistical Analysis and Robust Optimization of Forming Processes and Forming-to-Crash Process Chains. International Journal of Material Forming. 3(S1). 45–48. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact